Overview
Brought to you by YData
Dataset statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Number of variables | 14 | 14 |
| Number of observations | 535 | 179 |
| Missing cells | 0 | 0 |
| Missing cells (%) | 0.0% | 0.0% |
| Duplicate rows | 0 | 0 |
| Duplicate rows (%) | 0.0% | 0.0% |
| Total size in memory | 62.7 KiB | 21.0 KiB |
| Average record size in memory | 120.0 B | 120.0 B |
Variable types
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Numeric | 10 | 10 |
| DateTime | 1 | 1 |
| Categorical | 3 | 3 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
cdi is highly overall correlated with sig | cdi is highly overall correlated with sig | High correlation |
dmin is highly overall correlated with nst | dmin is highly overall correlated with nst | High correlation |
label is highly overall correlated with magType and 1 other fields | label is highly overall correlated with magType and 1 other fields | High correlation |
magType is highly overall correlated with label and 1 other fields | magType is highly overall correlated with label | High correlation |
magnitude is highly overall correlated with sig | magnitude is highly overall correlated with sig | High correlation |
net is highly overall correlated with magType | Alert not present in this dataset | High correlation |
nst is highly overall correlated with dmin and 1 other fields | nst is highly overall correlated with dmin and 1 other fields | High correlation |
sig is highly overall correlated with cdi and 1 other fields | sig is highly overall correlated with cdi and 1 other fields | High correlation |
net is highly imbalanced (90.5%) | net is highly imbalanced (89.8%) | Imbalance |
magType is highly imbalanced (52.0%) | Alert not present in this dataset | Imbalance |
cdi has 150 (28.0%) zeros | cdi has 50 (27.9%) zeros | Zeros |
nst has 250 (46.7%) zeros | nst has 83 (46.4%) zeros | Zeros |
dmin has 274 (51.2%) zeros | dmin has 90 (50.3%) zeros | Zeros |
gap has 48 (9.0%) zeros | gap has 13 (7.3%) zeros | Zeros |
| Alert not present in this dataset | latitude has unique values | Unique |
| Alert not present in this dataset | longitude has unique values | Unique |
Reproduction
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Analysis started | 2024-11-12 04:13:51.284512 | 2024-11-12 04:14:15.872878 |
| Analysis finished | 2024-11-12 04:14:15.859988 | 2024-11-12 04:14:39.325198 |
| Duration | 24.58 seconds | 23.45 seconds |
| Software version | ydata-profiling vv4.12.0 | ydata-profiling vv4.12.0 |
| Download configuration | config.json | config.json |
Variables
magnitude
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 12 | 12 |
| Distinct (%) | 2.2% | 6.7% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 6.8357009 | 6.8586592 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 6.5 | 6.5 |
| Maximum | 7.6 | 7.6 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 6.5 | 6.5 |
| 5-th percentile | 6.5 | 6.5 |
| Q1 | 6.6 | 6.6 |
| median | 6.8 | 6.8 |
| Q3 | 7 | 7.1 |
| 95-th percentile | 7.5 | 7.5 |
| Maximum | 7.6 | 7.6 |
| Range | 1.1 | 1.1 |
| Interquartile range (IQR) | 0.4 | 0.5 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 0.30595865 | 0.3051439 |
| Coefficient of variation (CV) | 0.044758929 | 0.044490313 |
| Kurtosis | -0.0568372 | -0.4929851 |
| Mean | 6.8357009 | 6.8586592 |
| Median Absolute Deviation (MAD) | 0.2 | 0.2 |
| Skewness | 0.9038971 | 0.69270614 |
| Sum | 3657.1 | 1227.7 |
| Variance | 0.093610697 | 0.093112799 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 6.5 | 104 | |
| 6.7 | 81 | |
| 6.6 | 78 | |
| 6.8 | 62 | |
| 6.9 | 56 | |
| 7 | 35 | 6.5% |
| 7.1 | 29 | 5.4% |
| 7.2 | 22 | 4.1% |
| 7.3 | 21 | 3.9% |
| 7.6 | 18 | 3.4% |
| Other values (2) | 29 | 5.4% |
| Value | Count | Frequency (%) |
| 6.6 | 37 | |
| 6.5 | 27 | |
| 6.9 | 21 | |
| 6.7 | 17 | |
| 6.8 | 16 | |
| 7.1 | 14 | 7.8% |
| 7 | 14 | 7.8% |
| 7.3 | 10 | 5.6% |
| 7.2 | 8 | 4.5% |
| 7.5 | 6 | 3.4% |
| Other values (2) | 9 | 5.0% |
| Value | Count | Frequency (%) |
| 6.5 | 104 | |
| 6.6 | 78 | |
| 6.7 | 81 | |
| 6.8 | 62 | |
| 6.9 | 56 | |
| 7 | 35 | 6.5% |
| 7.1 | 29 | 5.4% |
| 7.2 | 22 | 4.1% |
| 7.3 | 21 | 3.9% |
| 7.4 | 13 | 2.4% |
| Value | Count | Frequency (%) |
| 6.5 | 27 | |
| 6.6 | 37 | |
| 6.7 | 17 | |
| 6.8 | 16 | |
| 6.9 | 21 | |
| 7 | 14 | 7.8% |
| 7.1 | 14 | 7.8% |
| 7.2 | 8 | 4.5% |
| 7.3 | 10 | 5.6% |
| 7.4 | 5 | 2.8% |
| Value | Count | Frequency (%) |
| 6.5 | 27 | |
| 6.6 | 37 | |
| 6.7 | 17 | |
| 6.8 | 16 | |
| 6.9 | 21 | |
| 7 | 14 | 2.6% |
| 7.1 | 14 | 2.6% |
| 7.2 | 8 | 1.5% |
| 7.3 | 10 | 1.9% |
| 7.4 | 5 | 0.9% |
| Value | Count | Frequency (%) |
| 6.5 | 104 | |
| 6.6 | 78 | |
| 6.7 | 81 | |
| 6.8 | 62 | |
| 6.9 | 56 | |
| 7 | 35 | 19.6% |
| 7.1 | 29 | 16.2% |
| 7.2 | 22 | 12.3% |
| 7.3 | 21 | 11.7% |
| 7.4 | 13 | 7.3% |
date_time
Date
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 532 | 178 |
| Distinct (%) | 99.4% | 99.4% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 2001-01-01 08:54:00 | 2001-01-01 06:57:00 |
| Maximum | 2022-11-18 13:37:00 | 2022-12-11 07:09:00 |
Histogram with fixed size bins (bins=1)
cdi
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 10 | 10 |
| Distinct (%) | 1.9% | 5.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 4.1102804 | 4.3407821 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 9 | 9 |
| Zeros | 150 | 50 |
| Zeros (%) | 28.0% | 27.9% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 5 | 5 |
| Q3 | 7 | 7 |
| 95-th percentile | 9 | 9 |
| Maximum | 9 | 9 |
| Range | 9 | 9 |
| Interquartile range (IQR) | 7 | 7 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 3.0947864 | 3.1553524 |
| Coefficient of variation (CV) | 0.75293804 | 0.72690873 |
| Kurtosis | -1.3656772 | -1.342476 |
| Mean | 4.1102804 | 4.3407821 |
| Median Absolute Deviation (MAD) | 2 | 2 |
| Skewness | -0.13214471 | -0.23870241 |
| Sum | 2199 | 777 |
| Variance | 9.5777031 | 9.9562488 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 150 | |
| 5 | 79 | |
| 7 | 66 | |
| 8 | 53 | 9.9% |
| 6 | 52 | 9.7% |
| 4 | 46 | 8.6% |
| 3 | 32 | 6.0% |
| 9 | 32 | 6.0% |
| 2 | 13 | 2.4% |
| 1 | 12 | 2.2% |
| Value | Count | Frequency (%) |
| 0 | 50 | |
| 7 | 24 | |
| 5 | 23 | |
| 6 | 22 | |
| 8 | 18 | 10.1% |
| 3 | 15 | 8.4% |
| 9 | 14 | 7.8% |
| 4 | 11 | 6.1% |
| 1 | 1 | 0.6% |
| 2 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 0 | 150 | |
| 1 | 12 | 2.2% |
| 2 | 13 | 2.4% |
| 3 | 32 | 6.0% |
| 4 | 46 | 8.6% |
| 5 | 79 | |
| 6 | 52 | 9.7% |
| 7 | 66 | |
| 8 | 53 | 9.9% |
| 9 | 32 | 6.0% |
| Value | Count | Frequency (%) |
| 0 | 50 | |
| 1 | 1 | 0.6% |
| 2 | 1 | 0.6% |
| 3 | 15 | 8.4% |
| 4 | 11 | 6.1% |
| 5 | 23 | |
| 6 | 22 | |
| 7 | 24 | |
| 8 | 18 | 10.1% |
| 9 | 14 | 7.8% |
| Value | Count | Frequency (%) |
| 0 | 50 | |
| 1 | 1 | 0.2% |
| 2 | 1 | 0.2% |
| 3 | 15 | 2.8% |
| 4 | 11 | 2.1% |
| 5 | 23 | |
| 6 | 22 | |
| 7 | 24 | |
| 8 | 18 | 3.4% |
| 9 | 14 | 2.6% |
| Value | Count | Frequency (%) |
| 0 | 150 | |
| 1 | 12 | 6.7% |
| 2 | 13 | 7.3% |
| 3 | 32 | 17.9% |
| 4 | 46 | 25.7% |
| 5 | 79 | |
| 6 | 52 | 29.1% |
| 7 | 66 | |
| 8 | 53 | 29.6% |
| 9 | 32 | 17.9% |
mmi
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 9 | 8 |
| Distinct (%) | 1.7% | 4.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 5.8205607 | 6.0111732 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 1 | 2 |
| Maximum | 9 | 9 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 1 | 2 |
| 5-th percentile | 3 | 4 |
| Q1 | 5 | 5 |
| median | 6 | 6 |
| Q3 | 7 | 7 |
| 95-th percentile | 8 | 8 |
| Maximum | 9 | 9 |
| Range | 8 | 7 |
| Interquartile range (IQR) | 2 | 2 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 1.4239615 | 1.3820227 |
| Coefficient of variation (CV) | 0.24464335 | 0.22990899 |
| Kurtosis | -0.14095848 | -0.11126406 |
| Mean | 5.8205607 | 6.0111732 |
| Median Absolute Deviation (MAD) | 1 | 1 |
| Skewness | -0.27084318 | -0.29142078 |
| Sum | 3114 | 1076 |
| Variance | 2.0276664 | 1.9099868 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 6 | 147 | |
| 7 | 138 | |
| 5 | 105 | |
| 4 | 63 | |
| 8 | 34 | 6.4% |
| 3 | 31 | 5.8% |
| 9 | 13 | 2.4% |
| 2 | 3 | 0.6% |
| 1 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 7 | 51 | |
| 6 | 49 | |
| 5 | 33 | |
| 4 | 18 | 10.1% |
| 8 | 15 | 8.4% |
| 3 | 7 | 3.9% |
| 9 | 5 | 2.8% |
| 2 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 1 | 1 | 0.2% |
| 2 | 3 | 0.6% |
| 3 | 31 | 5.8% |
| 4 | 63 | |
| 5 | 105 | |
| 6 | 147 | |
| 7 | 138 | |
| 8 | 34 | 6.4% |
| 9 | 13 | 2.4% |
| Value | Count | Frequency (%) |
| 2 | 1 | 0.6% |
| 3 | 7 | 3.9% |
| 4 | 18 | 10.1% |
| 5 | 33 | |
| 6 | 49 | |
| 7 | 51 | |
| 8 | 15 | 8.4% |
| 9 | 5 | 2.8% |
| Value | Count | Frequency (%) |
| 2 | 1 | 0.2% |
| 3 | 7 | 1.3% |
| 4 | 18 | 3.4% |
| 5 | 33 | |
| 6 | 49 | |
| 7 | 51 | |
| 8 | 15 | 2.8% |
| 9 | 5 | 0.9% |
| Value | Count | Frequency (%) |
| 1 | 1 | 0.6% |
| 2 | 3 | 1.7% |
| 3 | 31 | 17.3% |
| 4 | 63 | |
| 5 | 105 | |
| 6 | 147 | |
| 7 | 138 | |
| 8 | 34 | 19.0% |
| 9 | 13 | 7.3% |
sig
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 236 | 115 |
| Distinct (%) | 44.1% | 64.2% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 822.38318 | 867.87709 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 650 | 650 |
| Maximum | 2790 | 2910 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 650 | 650 |
| 5-th percentile | 650 | 650 |
| Q1 | 691 | 682 |
| median | 733 | 759 |
| Q3 | 836.5 | 872.5 |
| 95-th percentile | 1429.8 | 1544.1 |
| Maximum | 2790 | 2910 |
| Range | 2140 | 2260 |
| Interquartile range (IQR) | 145.5 | 190.5 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 256.80398 | 347.26648 |
| Coefficient of variation (CV) | 0.31226804 | 0.40013325 |
| Kurtosis | 14.248869 | 14.758287 |
| Mean | 822.38318 | 867.87709 |
| Median Absolute Deviation (MAD) | 63 | 89 |
| Skewness | 3.2689201 | 3.5183737 |
| Sum | 439975 | 155350 |
| Variance | 65948.285 | 120594.01 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 650 | 38 | 7.1% |
| 691 | 33 | 6.2% |
| 670 | 23 | 4.3% |
| 711 | 21 | 3.9% |
| 732 | 13 | 2.4% |
| 776 | 13 | 2.4% |
| 820 | 9 | 1.7% |
| 651 | 8 | 1.5% |
| 733 | 7 | 1.3% |
| 798 | 7 | 1.3% |
| Other values (226) | 363 |
| Value | Count | Frequency (%) |
| 670 | 18 | 10.1% |
| 650 | 12 | 6.7% |
| 776 | 5 | 2.8% |
| 711 | 4 | 2.2% |
| 744 | 3 | 1.7% |
| 651 | 3 | 1.7% |
| 740 | 3 | 1.7% |
| 674 | 3 | 1.7% |
| 842 | 3 | 1.7% |
| 820 | 3 | 1.7% |
| Other values (105) | 122 |
| Value | Count | Frequency (%) |
| 650 | 38 | |
| 651 | 8 | 1.5% |
| 652 | 5 | 0.9% |
| 653 | 3 | 0.6% |
| 654 | 3 | 0.6% |
| 655 | 3 | 0.6% |
| 656 | 1 | 0.2% |
| 657 | 4 | 0.7% |
| 659 | 1 | 0.2% |
| 661 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 650 | 12 | |
| 651 | 3 | 1.7% |
| 652 | 1 | 0.6% |
| 653 | 2 | 1.1% |
| 656 | 1 | 0.6% |
| 670 | 18 | |
| 671 | 1 | 0.6% |
| 674 | 3 | 1.7% |
| 677 | 2 | 1.1% |
| 678 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 650 | 12 | |
| 651 | 3 | 0.6% |
| 652 | 1 | 0.2% |
| 653 | 2 | 0.4% |
| 656 | 1 | 0.2% |
| 670 | 18 | |
| 671 | 1 | 0.2% |
| 674 | 3 | 0.6% |
| 677 | 2 | 0.4% |
| 678 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 650 | 38 | |
| 651 | 8 | 4.5% |
| 652 | 5 | 2.8% |
| 653 | 3 | 1.7% |
| 654 | 3 | 1.7% |
| 655 | 3 | 1.7% |
| 656 | 1 | 0.6% |
| 657 | 4 | 2.2% |
| 659 | 1 | 0.6% |
| 661 | 1 | 0.6% |
net
Categorical
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 9 | 5 |
| Distinct (%) | 1.7% | 2.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
| us | |
|---|---|
| ak | 7 |
| pt | 2 |
| nc | 2 |
| hv | 2 |
| Other values (4) | 5 |
| us | |
|---|---|
| ak | 2 |
| nc | 1 |
| duputel | 1 |
| ci | 1 |
Length
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Max length | 2 | 7 |
| Median length | 2 | 2 |
| Mean length | 2 | 2.027933 |
| Min length | 2 | 2 |
Characters and Unicode
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Total characters | 1070 | 363 |
| Distinct characters | 12 | 12 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Unique | 3 | 3 ? |
| Unique (%) | 0.6% | 1.7% |
Sample
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| 1st row | us | us |
| 2nd row | us | us |
| 3rd row | us | us |
| 4th row | us | us |
| 5th row | us | us |
Common Values
| Value | Count | Frequency (%) |
| us | 517 | |
| ak | 7 | 1.3% |
| pt | 2 | 0.4% |
| nc | 2 | 0.4% |
| hv | 2 | 0.4% |
| at | 2 | 0.4% |
| nn | 1 | 0.2% |
| ci | 1 | 0.2% |
| uw | 1 | 0.2% |
| Value | Count | Frequency (%) |
| us | 174 | |
| ak | 2 | 1.1% |
| nc | 1 | 0.6% |
| duputel | 1 | 0.6% |
| ci | 1 | 0.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
Profiling Report - Train Set
Profiling Report - Test Set
| Value | Count | Frequency (%) |
| us | 517 | |
| ak | 7 | 1.3% |
| pt | 2 | 0.4% |
| nc | 2 | 0.4% |
| hv | 2 | 0.4% |
| at | 2 | 0.4% |
| nn | 1 | 0.2% |
| ci | 1 | 0.2% |
| uw | 1 | 0.2% |
| Value | Count | Frequency (%) |
| us | 174 | |
| ak | 2 | 1.1% |
| nc | 1 | 0.6% |
| duputel | 1 | 0.6% |
| ci | 1 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| u | 518 | |
| s | 517 | |
| a | 9 | 0.8% |
| k | 7 | 0.7% |
| t | 4 | 0.4% |
| n | 4 | 0.4% |
| c | 3 | 0.3% |
| p | 2 | 0.2% |
| h | 2 | 0.2% |
| v | 2 | 0.2% |
| Other values (2) | 2 | 0.2% |
| Value | Count | Frequency (%) |
| u | 176 | |
| s | 174 | |
| a | 2 | 0.6% |
| k | 2 | 0.6% |
| c | 2 | 0.6% |
| n | 1 | 0.3% |
| d | 1 | 0.3% |
| p | 1 | 0.3% |
| t | 1 | 0.3% |
| e | 1 | 0.3% |
| Other values (2) | 2 | 0.6% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1070 |
| Value | Count | Frequency (%) |
| (unknown) | 363 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| u | 518 | |
| s | 517 | |
| a | 9 | 0.8% |
| k | 7 | 0.7% |
| t | 4 | 0.4% |
| n | 4 | 0.4% |
| c | 3 | 0.3% |
| p | 2 | 0.2% |
| h | 2 | 0.2% |
| v | 2 | 0.2% |
| Other values (2) | 2 | 0.2% |
| Value | Count | Frequency (%) |
| u | 176 | |
| s | 174 | |
| a | 2 | 0.6% |
| k | 2 | 0.6% |
| c | 2 | 0.6% |
| n | 1 | 0.3% |
| d | 1 | 0.3% |
| p | 1 | 0.3% |
| t | 1 | 0.3% |
| e | 1 | 0.3% |
| Other values (2) | 2 | 0.6% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1070 |
| Value | Count | Frequency (%) |
| (unknown) | 363 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| u | 518 | |
| s | 517 | |
| a | 9 | 0.8% |
| k | 7 | 0.7% |
| t | 4 | 0.4% |
| n | 4 | 0.4% |
| c | 3 | 0.3% |
| p | 2 | 0.2% |
| h | 2 | 0.2% |
| v | 2 | 0.2% |
| Other values (2) | 2 | 0.2% |
| Value | Count | Frequency (%) |
| u | 176 | |
| s | 174 | |
| a | 2 | 0.6% |
| k | 2 | 0.6% |
| c | 2 | 0.6% |
| n | 1 | 0.3% |
| d | 1 | 0.3% |
| p | 1 | 0.3% |
| t | 1 | 0.3% |
| e | 1 | 0.3% |
| Other values (2) | 2 | 0.6% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1070 |
| Value | Count | Frequency (%) |
| (unknown) | 363 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| u | 518 | |
| s | 517 | |
| a | 9 | 0.8% |
| k | 7 | 0.7% |
| t | 4 | 0.4% |
| n | 4 | 0.4% |
| c | 3 | 0.3% |
| p | 2 | 0.2% |
| h | 2 | 0.2% |
| v | 2 | 0.2% |
| Other values (2) | 2 | 0.2% |
| Value | Count | Frequency (%) |
| u | 176 | |
| s | 174 | |
| a | 2 | 0.6% |
| k | 2 | 0.6% |
| c | 2 | 0.6% |
| n | 1 | 0.3% |
| d | 1 | 0.3% |
| p | 1 | 0.3% |
| t | 1 | 0.3% |
| e | 1 | 0.3% |
| Other values (2) | 2 | 0.6% |
nst
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 233 | 87 |
| Distinct (%) | 43.6% | 48.6% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 227.16075 | 229.82123 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 934 | 782 |
| Zeros | 250 | 83 |
| Zeros (%) | 46.7% | 46.4% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 131 | 141 |
| Q3 | 444 | 420.5 |
| 95-th percentile | 667.3 | 645.4 |
| Maximum | 934 | 782 |
| Range | 934 | 782 |
| Interquartile range (IQR) | 444 | 420.5 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 248.96027 | 247.56305 |
| Coefficient of variation (CV) | 1.0959652 | 1.0771983 |
| Kurtosis | -1.0246234 | -1.2685956 |
| Mean | 227.16075 | 229.82123 |
| Median Absolute Deviation (MAD) | 131 | 141 |
| Skewness | 0.56502475 | 0.47986893 |
| Sum | 121531 | 41138 |
| Variance | 61981.214 | 61287.462 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 250 | |
| 445 | 3 | 0.6% |
| 444 | 3 | 0.6% |
| 447 | 3 | 0.6% |
| 426 | 3 | 0.6% |
| 529 | 3 | 0.6% |
| 698 | 3 | 0.6% |
| 596 | 3 | 0.6% |
| 243 | 2 | 0.4% |
| 117 | 2 | 0.4% |
| Other values (223) | 260 |
| Value | Count | Frequency (%) |
| 0 | 83 | |
| 640 | 3 | 1.7% |
| 398 | 3 | 1.7% |
| 420 | 2 | 1.1% |
| 282 | 2 | 1.1% |
| 494 | 2 | 1.1% |
| 305 | 2 | 1.1% |
| 312 | 2 | 1.1% |
| 550 | 2 | 1.1% |
| 561 | 1 | 0.6% |
| Other values (77) | 77 |
| Value | Count | Frequency (%) |
| 0 | 250 | |
| 20 | 1 | 0.2% |
| 23 | 1 | 0.2% |
| 27 | 1 | 0.2% |
| 43 | 1 | 0.2% |
| 50 | 1 | 0.2% |
| 63 | 1 | 0.2% |
| 64 | 1 | 0.2% |
| 65 | 1 | 0.2% |
| 67 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 83 | |
| 10 | 1 | 0.6% |
| 51 | 1 | 0.6% |
| 111 | 1 | 0.6% |
| 117 | 1 | 0.6% |
| 131 | 1 | 0.6% |
| 139 | 1 | 0.6% |
| 141 | 1 | 0.6% |
| 144 | 1 | 0.6% |
| 147 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 0 | 83 | |
| 10 | 1 | 0.2% |
| 51 | 1 | 0.2% |
| 111 | 1 | 0.2% |
| 117 | 1 | 0.2% |
| 131 | 1 | 0.2% |
| 139 | 1 | 0.2% |
| 141 | 1 | 0.2% |
| 144 | 1 | 0.2% |
| 147 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 250 | |
| 20 | 1 | 0.6% |
| 23 | 1 | 0.6% |
| 27 | 1 | 0.6% |
| 43 | 1 | 0.6% |
| 50 | 1 | 0.6% |
| 63 | 1 | 0.6% |
| 64 | 1 | 0.6% |
| 65 | 1 | 0.6% |
| 67 | 1 | 0.6% |
dmin
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 256 | 90 |
| Distinct (%) | 47.9% | 50.3% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 1.3203903 | 1.4262749 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 15.394 | 17.654 |
| Zeros | 274 | 90 |
| Zeros (%) | 51.2% | 50.3% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 0 | 0 |
| median | 0 | 0 |
| Q3 | 2.007 | 1.805 |
| 95-th percentile | 5.4815 | 6.4026 |
| Maximum | 15.394 | 17.654 |
| Range | 15.394 | 17.654 |
| Interquartile range (IQR) | 2.007 | 1.805 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 2.1179869 | 2.543312 |
| Coefficient of variation (CV) | 1.6040612 | 1.783185 |
| Kurtosis | 7.5765713 | 11.832219 |
| Mean | 1.3203903 | 1.4262749 |
| Median Absolute Deviation (MAD) | 0 | 0 |
| Skewness | 2.3884913 | 2.9725409 |
| Sum | 706.40882 | 255.3032 |
| Variance | 4.4858686 | 6.4684357 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 274 | |
| 1.778 | 2 | 0.4% |
| 0.828 | 2 | 0.4% |
| 2.705 | 2 | 0.4% |
| 1.505 | 2 | 0.4% |
| 0.778 | 2 | 0.4% |
| 1.487 | 2 | 0.4% |
| 0.803 | 1 | 0.2% |
| 6.012 | 1 | 0.2% |
| 1.747 | 1 | 0.2% |
| Other values (246) | 246 |
| Value | Count | Frequency (%) |
| 0 | 90 | |
| 0.289 | 1 | 0.6% |
| 3.77 | 1 | 0.6% |
| 11.764 | 1 | 0.6% |
| 3.144 | 1 | 0.6% |
| 1.504 | 1 | 0.6% |
| 3.997 | 1 | 0.6% |
| 1.872 | 1 | 0.6% |
| 0.761 | 1 | 0.6% |
| 0.356 | 1 | 0.6% |
| Other values (80) | 80 |
| Value | Count | Frequency (%) |
| 0 | 274 | |
| 0.04616 | 1 | 0.2% |
| 0.04685 | 1 | 0.2% |
| 0.07 | 1 | 0.2% |
| 0.11 | 1 | 0.2% |
| 0.142 | 1 | 0.2% |
| 0.151 | 1 | 0.2% |
| 0.173 | 1 | 0.2% |
| 0.225 | 1 | 0.2% |
| 0.23 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 90 | |
| 0.135 | 1 | 0.6% |
| 0.174 | 1 | 0.6% |
| 0.281 | 1 | 0.6% |
| 0.289 | 1 | 0.6% |
| 0.312 | 1 | 0.6% |
| 0.3225 | 1 | 0.6% |
| 0.349 | 1 | 0.6% |
| 0.355 | 1 | 0.6% |
| 0.356 | 1 | 0.6% |
| Value | Count | Frequency (%) |
| 0 | 90 | |
| 0.135 | 1 | 0.2% |
| 0.174 | 1 | 0.2% |
| 0.281 | 1 | 0.2% |
| 0.289 | 1 | 0.2% |
| 0.312 | 1 | 0.2% |
| 0.3225 | 1 | 0.2% |
| 0.349 | 1 | 0.2% |
| 0.355 | 1 | 0.2% |
| 0.356 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 274 | |
| 0.04616 | 1 | 0.6% |
| 0.04685 | 1 | 0.6% |
| 0.07 | 1 | 0.6% |
| 0.11 | 1 | 0.6% |
| 0.142 | 1 | 0.6% |
| 0.151 | 1 | 0.6% |
| 0.173 | 1 | 0.6% |
| 0.225 | 1 | 0.6% |
| 0.23 | 1 | 0.6% |
gap
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 208 | 97 |
| Distinct (%) | 38.9% | 54.2% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 25.052505 | 26.787151 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| Maximum | 229 | 239 |
| Zeros | 48 | 13 |
| Zeros (%) | 9.0% | 7.3% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 0 | 0 |
| 5-th percentile | 0 | 0 |
| Q1 | 14.45 | 16 |
| median | 20 | 21.5 |
| Q3 | 30 | 31.65 |
| 95-th percentile | 56.3 | 54.01 |
| Maximum | 229 | 239 |
| Range | 229 | 239 |
| Interquartile range (IQR) | 15.55 | 15.65 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 24.133766 | 26.930727 |
| Coefficient of variation (CV) | 0.96332746 | 1.0053599 |
| Kurtosis | 28.669436 | 35.9366 |
| Mean | 25.052505 | 26.787151 |
| Median Absolute Deviation (MAD) | 7 | 7.5 |
| Skewness | 4.4139429 | 5.1957495 |
| Sum | 13403.09 | 4794.9 |
| Variance | 582.43865 | 725.26405 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 48 | 9.0% |
| 18 | 18 | 3.4% |
| 16 | 17 | 3.2% |
| 19 | 16 | 3.0% |
| 12 | 14 | 2.6% |
| 22 | 13 | 2.4% |
| 15 | 12 | 2.2% |
| 17 | 11 | 2.1% |
| 14 | 11 | 2.1% |
| 20 | 10 | 1.9% |
| Other values (198) | 365 |
| Value | Count | Frequency (%) |
| 0 | 13 | 7.3% |
| 17 | 6 | 3.4% |
| 22 | 6 | 3.4% |
| 11 | 6 | 3.4% |
| 14 | 5 | 2.8% |
| 23 | 5 | 2.8% |
| 18 | 5 | 2.8% |
| 16 | 5 | 2.8% |
| 25 | 5 | 2.8% |
| 17.7 | 4 | 2.2% |
| Other values (87) | 119 |
| Value | Count | Frequency (%) |
| 0 | 48 | |
| 8 | 1 | 0.2% |
| 8.7 | 1 | 0.2% |
| 9 | 6 | 1.1% |
| 9.5 | 1 | 0.2% |
| 10 | 6 | 1.1% |
| 10.1 | 2 | 0.4% |
| 10.2 | 1 | 0.2% |
| 10.6 | 1 | 0.2% |
| 10.9 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 10 | 1 | 0.6% |
| 10.1 | 1 | 0.6% |
| 11 | 6 | |
| 11.4 | 1 | 0.6% |
| 11.5 | 1 | 0.6% |
| 12 | 3 | 1.7% |
| 12.1 | 1 | 0.6% |
| 12.6 | 1 | 0.6% |
| 13 | 2 | 1.1% |
| Value | Count | Frequency (%) |
| 0 | 13 | |
| 10 | 1 | 0.2% |
| 10.1 | 1 | 0.2% |
| 11 | 6 | |
| 11.4 | 1 | 0.2% |
| 11.5 | 1 | 0.2% |
| 12 | 3 | 0.6% |
| 12.1 | 1 | 0.2% |
| 12.6 | 1 | 0.2% |
| 13 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 0 | 48 | |
| 8 | 1 | 0.6% |
| 8.7 | 1 | 0.6% |
| 9 | 6 | 3.4% |
| 9.5 | 1 | 0.6% |
| 10 | 6 | 3.4% |
| 10.1 | 2 | 1.1% |
| 10.2 | 1 | 0.6% |
| 10.6 | 1 | 0.6% |
| 10.9 | 1 | 0.6% |
magType
Categorical
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 9 | 5 |
| Distinct (%) | 1.7% | 2.8% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
| mww | |
|---|---|
| mwc | |
| mwb | |
| mw | 10 |
| Mi | 4 |
| Other values (4) | 6 |
| mww | |
|---|---|
| mwc | |
| mwb | |
| mw | 3 |
| mb | 1 |
Length
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Max length | 3 | 3 |
| Median length | 3 | 3 |
| Mean length | 2.9626168 | 2.9776536 |
| Min length | 2 | 2 |
Characters and Unicode
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Total characters | 1585 | 533 |
| Distinct characters | 9 | 4 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Unique | 2 | 1 ? |
| Unique (%) | 0.4% | 0.6% |
Sample
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| 1st row | mww | mb |
| 2nd row | mwc | mwc |
| 3rd row | mww | mww |
| 4th row | mwb | mwc |
| 5th row | mww | mww |
Common Values
| Value | Count | Frequency (%) |
| mww | 318 | |
| mwc | 150 | |
| mwb | 47 | 8.8% |
| mw | 10 | 1.9% |
| Mi | 4 | 0.7% |
| ms | 2 | 0.4% |
| md | 2 | 0.4% |
| ml | 1 | 0.2% |
| mb | 1 | 0.2% |
| Value | Count | Frequency (%) |
| mww | 108 | |
| mwc | 45 | |
| mwb | 22 | 12.3% |
| mw | 3 | 1.7% |
| mb | 1 | 0.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
Profiling Report - Train Set
Profiling Report - Test Set
| Value | Count | Frequency (%) |
| mww | 318 | |
| mwc | 150 | |
| mwb | 47 | 8.8% |
| mw | 10 | 1.9% |
| mi | 4 | 0.7% |
| ms | 2 | 0.4% |
| md | 2 | 0.4% |
| ml | 1 | 0.2% |
| mb | 1 | 0.2% |
| Value | Count | Frequency (%) |
| mww | 108 | |
| mwc | 45 | |
| mwb | 22 | 12.3% |
| mw | 3 | 1.7% |
| mb | 1 | 0.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| w | 843 | |
| m | 531 | |
| c | 150 | 9.5% |
| b | 48 | 3.0% |
| M | 4 | 0.3% |
| i | 4 | 0.3% |
| s | 2 | 0.1% |
| d | 2 | 0.1% |
| l | 1 | 0.1% |
| Value | Count | Frequency (%) |
| w | 286 | |
| m | 179 | |
| c | 45 | 8.4% |
| b | 23 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 1585 |
| Value | Count | Frequency (%) |
| (unknown) | 533 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| w | 843 | |
| m | 531 | |
| c | 150 | 9.5% |
| b | 48 | 3.0% |
| M | 4 | 0.3% |
| i | 4 | 0.3% |
| s | 2 | 0.1% |
| d | 2 | 0.1% |
| l | 1 | 0.1% |
| Value | Count | Frequency (%) |
| w | 286 | |
| m | 179 | |
| c | 45 | 8.4% |
| b | 23 | 4.3% |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 1585 |
| Value | Count | Frequency (%) |
| (unknown) | 533 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| w | 843 | |
| m | 531 | |
| c | 150 | 9.5% |
| b | 48 | 3.0% |
| M | 4 | 0.3% |
| i | 4 | 0.3% |
| s | 2 | 0.1% |
| d | 2 | 0.1% |
| l | 1 | 0.1% |
| Value | Count | Frequency (%) |
| w | 286 | |
| m | 179 | |
| c | 45 | 8.4% |
| b | 23 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 1585 |
| Value | Count | Frequency (%) |
| (unknown) | 533 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| w | 843 | |
| m | 531 | |
| c | 150 | 9.5% |
| b | 48 | 3.0% |
| M | 4 | 0.3% |
| i | 4 | 0.3% |
| s | 2 | 0.1% |
| d | 2 | 0.1% |
| l | 1 | 0.1% |
| Value | Count | Frequency (%) |
| w | 286 | |
| m | 179 | |
| c | 45 | 8.4% |
| b | 23 | 4.3% |
depth
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 219 | 103 |
| Distinct (%) | 40.9% | 57.5% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 76.683092 | 72.091832 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 2.7 | 6.43 |
| Maximum | 660 | 630 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 0 | 0 |
| Negative (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | 2.7 | 6.43 |
| 5-th percentile | 9.991 | 9.9987 |
| Q1 | 13 | 16.33 |
| median | 26.59 | 25.5 |
| Q3 | 48.5 | 55.5 |
| 95-th percentile | 527.6 | 314.3 |
| Maximum | 660 | 630 |
| Range | 657.3 | 623.57 |
| Interquartile range (IQR) | 35.5 | 39.17 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 137.77921 | 127.63336 |
| Coefficient of variation (CV) | 1.7967351 | 1.7704275 |
| Kurtosis | 7.7002299 | 10.983256 |
| Mean | 76.683092 | 72.091832 |
| Median Absolute Deviation (MAD) | 14.59 | 14.5 |
| Skewness | 2.9138962 | 3.3485216 |
| Sum | 41025.454 | 12904.438 |
| Variance | 18983.109 | 16290.275 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10 | 68 | 12.7% |
| 20 | 22 | 4.1% |
| 35 | 19 | 3.6% |
| 12 | 17 | 3.2% |
| 33 | 14 | 2.6% |
| 11 | 13 | 2.4% |
| 28 | 10 | 1.9% |
| 13 | 10 | 1.9% |
| 24 | 10 | 1.9% |
| 30 | 9 | 1.7% |
| Other values (209) | 343 |
| Value | Count | Frequency (%) |
| 10 | 17 | 9.5% |
| 33 | 8 | 4.5% |
| 21 | 7 | 3.9% |
| 24 | 6 | 3.4% |
| 25 | 5 | 2.8% |
| 22 | 5 | 2.8% |
| 18 | 4 | 2.2% |
| 17 | 4 | 2.2% |
| 11 | 4 | 2.2% |
| 19 | 4 | 2.2% |
| Other values (93) | 115 |
| Value | Count | Frequency (%) |
| 2.7 | 1 | 0.2% |
| 4.2 | 1 | 0.2% |
| 5 | 3 | |
| 5.81 | 1 | 0.2% |
| 6 | 1 | 0.2% |
| 6.43 | 1 | 0.2% |
| 7 | 1 | 0.2% |
| 7.8 | 1 | 0.2% |
| 8 | 5 | |
| 8.2 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 6.43 | 1 | 0.6% |
| 6.8 | 1 | 0.6% |
| 7 | 1 | 0.6% |
| 8 | 2 | 1.1% |
| 9 | 3 | 1.7% |
| 9.987 | 1 | 0.6% |
| 10 | 17 | |
| 11 | 4 | 2.2% |
| 12 | 3 | 1.7% |
| 13 | 2 | 1.1% |
| Value | Count | Frequency (%) |
| 6.43 | 1 | 0.2% |
| 6.8 | 1 | 0.2% |
| 7 | 1 | 0.2% |
| 8 | 2 | 0.4% |
| 9 | 3 | 0.6% |
| 9.987 | 1 | 0.2% |
| 10 | 17 | |
| 11 | 4 | 0.7% |
| 12 | 3 | 0.6% |
| 13 | 2 | 0.4% |
| Value | Count | Frequency (%) |
| 2.7 | 1 | 0.6% |
| 4.2 | 1 | 0.6% |
| 5 | 3 | |
| 5.81 | 1 | 0.6% |
| 6 | 1 | 0.6% |
| 6.43 | 1 | 0.6% |
| 7 | 1 | 0.6% |
| 7.8 | 1 | 0.6% |
| 8 | 5 | |
| 8.2 | 1 | 0.6% |
latitude
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 532 | 179 |
| Distinct (%) | 99.4% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 3.8407054 | 1.777138 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | -61.8484 | -60.857 |
| Maximum | 71.6312 | 60.491 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 290 | 99 |
| Negative (%) | 54.2% | 55.3% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | -61.8484 | -60.857 |
| 5-th percentile | -36.4949 | -37.39224 |
| Q1 | -13.6345 | -15.28905 |
| median | -2.6286 | -3.517 |
| Q3 | 24.4045 | 19.4375 |
| 95-th percentile | 51.9599 | 43.1375 |
| Maximum | 71.6312 | 60.491 |
| Range | 133.4796 | 121.348 |
| Interquartile range (IQR) | 38.039 | 34.72655 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 26.999315 | 26.481117 |
| Coefficient of variation (CV) | 7.0297802 | 14.900991 |
| Kurtosis | -0.4163055 | -0.5193434 |
| Mean | 3.8407054 | 1.777138 |
| Median Absolute Deviation (MAD) | 16.7296 | 16.868 |
| Skewness | 0.21718803 | 0.1693273 |
| Sum | 2054.7774 | 318.1077 |
| Variance | 728.96302 | 701.24958 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.271 | 2 | 0.4% |
| 52.48 | 2 | 0.4% |
| 52.502 | 2 | 0.4% |
| -13.093 | 1 | 0.2% |
| 28.412 | 1 | 0.2% |
| -3.6849 | 1 | 0.2% |
| 7.929 | 1 | 0.2% |
| 52.235 | 1 | 0.2% |
| 67.631 | 1 | 0.2% |
| -20.671 | 1 | 0.2% |
| Other values (522) | 522 |
| Value | Count | Frequency (%) |
| 36.166 | 1 | 0.6% |
| 13.088 | 1 | 0.6% |
| 14.6802 | 1 | 0.6% |
| -8.207 | 1 | 0.6% |
| -11.0355 | 1 | 0.6% |
| -28.4792 | 1 | 0.6% |
| -2.13 | 1 | 0.6% |
| 3.8965 | 1 | 0.6% |
| -29.539 | 1 | 0.6% |
| -6.224 | 1 | 0.6% |
| Other values (169) | 169 |
| Value | Count | Frequency (%) |
| -61.8484 | 1 | |
| -60.532 | 1 | |
| -60.3026 | 1 | |
| -60.2627 | 1 | |
| -60.2152 | 1 | |
| -60.1023 | 1 | |
| -58.6262 | 1 | |
| -58.5446 | 1 | |
| -57.5959 | 1 | |
| -56.2409 | 1 |
| Value | Count | Frequency (%) |
| -60.857 | 1 | |
| -58.3814 | 1 | |
| -56.414 | 1 | |
| -54.2189 | 1 | |
| -44.796 | 1 | |
| -43.4064 | 1 | |
| -42.3205 | 1 | |
| -38.355 | 1 | |
| -37.695 | 1 | |
| -37.3586 | 1 |
| Value | Count | Frequency (%) |
| -60.857 | 1 | |
| -58.3814 | 1 | |
| -56.414 | 1 | |
| -54.2189 | 1 | |
| -44.796 | 1 | |
| -43.4064 | 1 | |
| -42.3205 | 1 | |
| -38.355 | 1 | |
| -37.695 | 1 | |
| -37.3586 | 1 |
| Value | Count | Frequency (%) |
| -61.8484 | 1 | |
| -60.532 | 1 | |
| -60.3026 | 1 | |
| -60.2627 | 1 | |
| -60.2152 | 1 | |
| -60.1023 | 1 | |
| -58.6262 | 1 | |
| -58.5446 | 1 | |
| -57.5959 | 1 | |
| -56.2409 | 1 |
longitude
Real number (ℝ)
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 532 | 179 |
| Distinct (%) | 99.4% | 100.0% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Infinite | 0 | 0 |
| Infinite (%) | 0.0% | 0.0% |
| Mean | 57.096162 | 44.459302 |
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | -179.968 | -178.6 |
| Maximum | 179.662 | 179.146 |
| Zeros | 0 | 0 |
| Zeros (%) | 0.0% | 0.0% |
| Negative | 170 | 65 |
| Negative (%) | 31.8% | 36.3% |
| Memory size | 8.4 KiB | 2.8 KiB |
Quantile statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Minimum | -179.968 | -178.6 |
| 5-th percentile | -173.6156 | -176.3679 |
| Q1 | -71.3876 | -72.1936 |
| median | 122.129 | 99.891 |
| Q3 | 151.2265 | 142.967 |
| 95-th percentile | 169.2107 | 167.5197 |
| Maximum | 179.662 | 179.146 |
| Range | 359.63 | 357.746 |
| Interquartile range (IQR) | 222.6141 | 215.1606 |
Descriptive statistics
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Standard deviation | 117.33709 | 117.01292 |
| Coefficient of variation (CV) | 2.0550785 | 2.6319109 |
| Kurtosis | -0.98769818 | -1.2268982 |
| Mean | 57.096162 | 44.459302 |
| Median Absolute Deviation (MAD) | 43.459 | 65.25 |
| Skewness | -0.77571637 | -0.57361607 |
| Sum | 30546.447 | 7958.215 |
| Variance | 13767.994 | 13692.024 |
| Monotonicity | Not monotonic | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 168.892 | 2 | 0.4% |
| -167.736 | 2 | 0.4% |
| -168.08 | 2 | 0.4% |
| 166.497 | 1 | 0.2% |
| 59.18 | 1 | 0.2% |
| 152.792 | 1 | 0.2% |
| -82.793 | 1 | 0.2% |
| 151.444 | 1 | 0.2% |
| 142.508 | 1 | 0.2% |
| 169.716 | 1 | 0.2% |
| Other values (522) | 522 |
| Value | Count | Frequency (%) |
| 141.562 | 1 | 0.6% |
| 144.619 | 1 | 0.6% |
| -92.4527 | 1 | 0.6% |
| 118.631 | 1 | 0.6% |
| -70.8284 | 1 | 0.6% |
| -176.619 | 1 | 0.6% |
| 99.627 | 1 | 0.6% |
| 126.862 | 1 | 0.6% |
| -176.34 | 1 | 0.6% |
| 29.83 | 1 | 0.6% |
| Other values (169) | 169 |
| Value | Count | Frequency (%) |
| -179.968 | 1 | |
| -179.511 | 1 | |
| -179.373 | 1 | |
| -178.959 | 1 | |
| -178.927 | 1 | |
| -178.804 | 1 | |
| -178.57 | 1 | |
| -178.244 | 1 | |
| -178.204 | 1 | |
| -178.1 | 1 |
| Value | Count | Frequency (%) |
| -178.6 | 1 | |
| -178.4 | 1 | |
| -178.346 | 1 | |
| -178.323 | 1 | |
| -177.881 | 1 | |
| -177.838 | 1 | |
| -177.759 | 1 | |
| -177.74 | 1 | |
| -176.619 | 1 | |
| -176.34 | 1 |
| Value | Count | Frequency (%) |
| -178.6 | 1 | |
| -178.4 | 1 | |
| -178.346 | 1 | |
| -178.323 | 1 | |
| -177.881 | 1 | |
| -177.838 | 1 | |
| -177.759 | 1 | |
| -177.74 | 1 | |
| -176.619 | 1 | |
| -176.34 | 1 |
| Value | Count | Frequency (%) |
| -179.968 | 1 | |
| -179.511 | 1 | |
| -179.373 | 1 | |
| -178.959 | 1 | |
| -178.927 | 1 | |
| -178.804 | 1 | |
| -178.57 | 1 | |
| -178.244 | 1 | |
| -178.204 | 1 | |
| -178.1 | 1 |
label
Categorical
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Distinct | 2 | 2 |
| Distinct (%) | 0.4% | 1.1% |
| Missing | 0 | 0 |
| Missing (%) | 0.0% | 0.0% |
| Memory size | 8.4 KiB | 2.8 KiB |
| 0 | |
|---|---|
| 1 |
| 0 | |
|---|---|
| 1 |
Length
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Max length | 1 | 1 |
| Median length | 1 | 1 |
| Mean length | 1 | 1 |
| Min length | 1 | 1 |
Characters and Unicode
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Total characters | 535 | 179 |
| Distinct characters | 2 | 2 |
| Distinct categories | 1 | 1 ? |
| Distinct scripts | 1 | 1 ? |
| Distinct blocks | 1 | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| Unique | 0 | 0 ? |
| Unique (%) | 0.0% | 0.0% |
Sample
| Profiling Report - Train Set | Profiling Report - Test Set | |
|---|---|---|
| 1st row | 1 | 0 |
| 2nd row | 0 | 0 |
| 3rd row | 0 | 1 |
| 4th row | 0 | 0 |
| 5th row | 1 | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 327 | |
| 1 | 208 |
| Value | Count | Frequency (%) |
| 0 | 109 | |
| 1 | 70 |
Length
Histogram of lengths of the category
Common Values (Plot)
Profiling Report - Train Set
Profiling Report - Test Set
| Value | Count | Frequency (%) |
| 0 | 327 | |
| 1 | 208 |
| Value | Count | Frequency (%) |
| 0 | 109 | |
| 1 | 70 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 327 | |
| 1 | 208 |
| Value | Count | Frequency (%) |
| 0 | 109 | |
| 1 | 70 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 535 |
| Value | Count | Frequency (%) |
| (unknown) | 179 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 0 | 327 | |
| 1 | 208 |
| Value | Count | Frequency (%) |
| 0 | 109 | |
| 1 | 70 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 535 |
| Value | Count | Frequency (%) |
| (unknown) | 179 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 0 | 327 | |
| 1 | 208 |
| Value | Count | Frequency (%) |
| 0 | 109 | |
| 1 | 70 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 535 |
| Value | Count | Frequency (%) |
| (unknown) | 179 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 0 | 327 | |
| 1 | 208 |
| Value | Count | Frequency (%) |
| 0 | 109 | |
| 1 | 70 |
Interactions
Profiling Report - Train Set
Profiling Report - Test Set
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Correlations
Profiling Report - Train Set
Profiling Report - Test Set
Profiling Report - Train Set
| cdi | depth | dmin | gap | label | latitude | longitude | magType | magnitude | mmi | net | nst | sig | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| cdi | 1.000 | -0.087 | 0.179 | 0.137 | 0.256 | 0.166 | -0.207 | 0.138 | 0.136 | 0.335 | 0.000 | -0.193 | 0.517 |
| depth | -0.087 | 1.000 | 0.030 | -0.154 | 0.000 | -0.068 | 0.053 | 0.000 | 0.129 | -0.287 | 0.000 | 0.042 | 0.036 |
| dmin | 0.179 | 0.030 | 1.000 | 0.070 | 0.458 | -0.201 | -0.058 | 0.136 | -0.111 | -0.310 | 0.000 | -0.820 | -0.091 |
| gap | 0.137 | -0.154 | 0.070 | 1.000 | 0.062 | 0.021 | -0.308 | 0.318 | -0.128 | -0.015 | 0.448 | -0.073 | 0.005 |
| label | 0.256 | 0.000 | 0.458 | 0.062 | 1.000 | 0.319 | 0.405 | 0.601 | 0.000 | 0.213 | 0.052 | 0.630 | 0.000 |
| latitude | 0.166 | -0.068 | -0.201 | 0.021 | 0.319 | 1.000 | -0.192 | 0.173 | -0.032 | 0.210 | 0.201 | 0.168 | 0.181 |
| longitude | -0.207 | 0.053 | -0.058 | -0.308 | 0.405 | -0.192 | 1.000 | 0.179 | 0.039 | -0.095 | 0.212 | 0.090 | -0.170 |
| magType | 0.138 | 0.000 | 0.136 | 0.318 | 0.601 | 0.173 | 0.179 | 1.000 | 0.000 | 0.105 | 0.666 | 0.275 | 0.171 |
| magnitude | 0.136 | 0.129 | -0.111 | -0.128 | 0.000 | -0.032 | 0.039 | 0.000 | 1.000 | 0.202 | 0.000 | 0.148 | 0.759 |
| mmi | 0.335 | -0.287 | -0.310 | -0.015 | 0.213 | 0.210 | -0.095 | 0.105 | 0.202 | 1.000 | 0.128 | 0.190 | 0.382 |
| net | 0.000 | 0.000 | 0.000 | 0.448 | 0.052 | 0.201 | 0.212 | 0.666 | 0.000 | 0.128 | 1.000 | 0.000 | 0.209 |
| nst | -0.193 | 0.042 | -0.820 | -0.073 | 0.630 | 0.168 | 0.090 | 0.275 | 0.148 | 0.190 | 0.000 | 1.000 | 0.075 |
| sig | 0.517 | 0.036 | -0.091 | 0.005 | 0.000 | 0.181 | -0.170 | 0.171 | 0.759 | 0.382 | 0.209 | 0.075 | 1.000 |
Profiling Report - Test Set
| cdi | depth | dmin | gap | label | latitude | longitude | magType | magnitude | mmi | net | nst | sig | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| cdi | 1.000 | 0.045 | 0.211 | 0.209 | 0.260 | 0.111 | -0.193 | 0.199 | 0.276 | 0.386 | 0.000 | -0.250 | 0.675 |
| depth | 0.045 | 1.000 | 0.137 | -0.310 | 0.000 | -0.110 | -0.044 | 0.000 | 0.153 | -0.232 | 0.000 | -0.084 | 0.060 |
| dmin | 0.211 | 0.137 | 1.000 | 0.058 | 0.393 | -0.196 | -0.167 | 0.143 | 0.025 | -0.129 | 0.000 | -0.815 | 0.059 |
| gap | 0.209 | -0.310 | 0.058 | 1.000 | 0.135 | -0.041 | -0.257 | 0.395 | -0.098 | 0.108 | 0.479 | 0.025 | 0.049 |
| label | 0.260 | 0.000 | 0.393 | 0.135 | 1.000 | 0.287 | 0.412 | 0.634 | 0.183 | 0.000 | 0.000 | 0.617 | 0.000 |
| latitude | 0.111 | -0.110 | -0.196 | -0.041 | 0.287 | 1.000 | 0.088 | 0.022 | -0.015 | 0.083 | 0.226 | 0.180 | 0.159 |
| longitude | -0.193 | -0.044 | -0.167 | -0.257 | 0.412 | 0.088 | 1.000 | 0.348 | 0.082 | 0.010 | 0.391 | 0.174 | -0.164 |
| magType | 0.199 | 0.000 | 0.143 | 0.395 | 0.634 | 0.022 | 0.348 | 1.000 | 0.000 | 0.080 | 0.437 | 0.401 | 0.196 |
| magnitude | 0.276 | 0.153 | 0.025 | -0.098 | 0.183 | -0.015 | 0.082 | 0.000 | 1.000 | 0.145 | 0.000 | -0.001 | 0.670 |
| mmi | 0.386 | -0.232 | -0.129 | 0.108 | 0.000 | 0.083 | 0.010 | 0.080 | 0.145 | 1.000 | 0.163 | 0.071 | 0.408 |
| net | 0.000 | 0.000 | 0.000 | 0.479 | 0.000 | 0.226 | 0.391 | 0.437 | 0.000 | 0.163 | 1.000 | 0.000 | 0.389 |
| nst | -0.250 | -0.084 | -0.815 | 0.025 | 0.617 | 0.180 | 0.174 | 0.401 | -0.001 | 0.071 | 0.000 | 1.000 | -0.069 |
| sig | 0.675 | 0.060 | 0.059 | 0.049 | 0.000 | 0.159 | -0.164 | 0.196 | 0.670 | 0.408 | 0.389 | -0.069 | 1.000 |
Missing values
Profiling Report - Train Set
A simple visualization of nullity by column.
Profiling Report - Test Set
A simple visualization of nullity by column.
Profiling Report - Train Set
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Profiling Report - Test Set
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Sample
Profiling Report - Train Set
| magnitude | date_time | cdi | mmi | sig | net | nst | dmin | gap | magType | depth | latitude | longitude | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 256 | 6.90 | 03-04-2016 08:23 | 7 | 6 | 734 | us | 0 | 1.17 | 25.00 | mww | 26.00 | -14.32 | 166.85 | 1 |
| 707 | 6.70 | 08-10-2003 09:06 | 0 | 6 | 691 | us | 556 | 0.00 | 55.40 | mwc | 32.00 | 42.65 | 144.57 | 0 |
| 294 | 6.50 | 23-06-2015 12:18 | 3 | 4 | 652 | us | 0 | 2.28 | 11.00 | mww | 460.00 | 27.74 | 139.72 | 0 |
| 697 | 6.70 | 28-01-2004 22:15 | 0 | 6 | 691 | us | 243 | 0.00 | 42.50 | mwb | 17.40 | -3.12 | 127.40 | 0 |
| 82 | 6.70 | 27-12-2020 21:39 | 5 | 5 | 776 | us | 0 | 1.32 | 19.00 | mww | 10.00 | -39.33 | -74.91 | 1 |
| 615 | 6.60 | 07-11-2006 17:38 | 0 | 6 | 670 | us | 352 | 0.00 | 18.60 | mwc | 11.00 | -6.48 | 151.19 | 0 |
| 430 | 7.30 | 27-08-2012 04:37 | 5 | 5 | 994 | us | 417 | 0.00 | 37.00 | mww | 28.00 | 12.14 | -88.59 | 0 |
| 561 | 6.90 | 13-06-2008 23:43 | 7 | 8 | 888 | us | 654 | 0.00 | 17.10 | mwc | 7.80 | 39.03 | 140.88 | 0 |
| 530 | 7.40 | 07-10-2009 23:13 | 0 | 7 | 842 | us | 314 | 0.00 | 20.20 | mwc | 31.10 | -13.09 | 166.50 | 0 |
| 484 | 6.70 | 20-12-2010 18:41 | 3 | 7 | 708 | us | 279 | 0.00 | 24.30 | mwc | 12.00 | 28.41 | 59.18 | 0 |
Profiling Report - Test Set
| magnitude | date_time | cdi | mmi | sig | net | nst | dmin | gap | magType | depth | latitude | longitude | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 473 | 6.50 | 11-03-2011 08:19 | 0 | 4 | 650 | us | 369 | 0.00 | 18.70 | mb | 6.80 | 36.17 | 141.56 | 0 |
| 742 | 7.10 | 26-04-2002 16:06 | 0 | 7 | 776 | us | 257 | 0.00 | 0.00 | mwc | 85.70 | 13.09 | 144.62 | 0 |
| 136 | 6.70 | 01-02-2019 16:14 | 6 | 6 | 909 | us | 0 | 0.29 | 43.00 | mww | 66.00 | 14.68 | -92.45 | 1 |
| 526 | 6.60 | 08-11-2009 19:41 | 7 | 6 | 677 | us | 305 | 0.00 | 20.40 | mwc | 18.00 | -8.21 | 118.63 | 0 |
| 166 | 7.10 | 24-08-2018 09:04 | 0 | 3 | 776 | us | 0 | 3.77 | 12.00 | mww | 630.00 | -11.04 | -70.83 | 0 |
| 73 | 6.50 | 04-03-2021 23:12 | 0 | 4 | 650 | us | 0 | 11.76 | 25.00 | mwb | 24.00 | -28.48 | -176.62 | 0 |
| 589 | 7.00 | 13-09-2007 03:35 | 4 | 7 | 768 | us | 537 | 0.00 | 23.10 | mwc | 22.00 | -2.13 | 99.63 | 0 |
| 262 | 6.50 | 11-01-2016 16:38 | 3 | 6 | 651 | us | 0 | 3.14 | 22.00 | mww | 13.00 | 3.90 | 126.86 | 1 |
| 464 | 7.60 | 06-07-2011 19:03 | 3 | 7 | 893 | us | 567 | 0.00 | 33.50 | mww | 17.00 | -29.54 | -176.34 | 0 |
| 639 | 6.80 | 05-12-2005 12:19 | 5 | 7 | 744 | us | 561 | 0.00 | 20.00 | mwc | 22.00 | -6.22 | 29.83 | 0 |
Profiling Report - Train Set
| magnitude | date_time | cdi | mmi | sig | net | nst | dmin | gap | magType | depth | latitude | longitude | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 123 | 6.60 | 14-07-2019 05:39 | 5 | 5 | 791 | us | 0 | 2.98 | 32.00 | mww | 10.00 | -18.22 | 120.36 | 0 |
| 80 | 7.00 | 21-01-2021 12:23 | 7 | 5 | 802 | us | 0 | 2.82 | 15.00 | mww | 80.00 | 5.01 | 127.52 | 1 |
| 255 | 6.70 | 06-04-2016 06:58 | 7 | 6 | 691 | us | 0 | 6.70 | 19.00 | mww | 24.00 | -14.07 | 166.62 | 1 |
| 172 | 6.50 | 15-08-2018 21:56 | 6 | 6 | 655 | us | 0 | 0.58 | 22.00 | mww | 33.93 | 51.42 | -178.03 | 1 |
| 37 | 6.80 | 11-01-2022 11:35 | 7 | 6 | 730 | us | 0 | 0.92 | 61.00 | mww | 20.00 | 52.66 | -167.92 | 1 |
| 358 | 6.80 | 10-03-2014 05:18 | 5 | 5 | 1211 | nc | 112 | 0.66 | 229.00 | mw | 16.44 | 40.83 | -125.13 | 1 |
| 260 | 6.60 | 21-01-2016 18:06 | 3 | 4 | 673 | us | 0 | 2.41 | 74.00 | mww | 10.00 | 18.82 | -106.93 | 1 |
| 694 | 6.70 | 08-02-2004 08:58 | 0 | 7 | 691 | us | 256 | 0.00 | 33.30 | mwc | 25.70 | -3.67 | 135.34 | 0 |
| 771 | 6.80 | 28-02-2001 18:54 | 7 | 7 | 1441 | uw | 67 | 0.00 | 31.00 | md | 51.80 | 47.15 | -122.73 | 0 |
| 324 | 6.60 | 07-11-2014 03:33 | 2 | 6 | 671 | us | 0 | 3.56 | 13.00 | mww | 53.19 | -5.99 | 148.23 | 1 |
Profiling Report - Test Set
| magnitude | date_time | cdi | mmi | sig | net | nst | dmin | gap | magType | depth | latitude | longitude | label | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 387 | 6.60 | 07-07-2013 20:30 | 4 | 6 | 674 | us | 139 | 0.00 | 14.00 | mww | 56.00 | -6.03 | 149.71 | 0 |
| 173 | 6.90 | 05-08-2018 11:46 | 9 | 8 | 1704 | us | 0 | 2.27 | 15.00 | mww | 34.00 | -8.26 | 116.44 | 0 |
| 375 | 6.50 | 30-09-2013 05:55 | 0 | 4 | 650 | us | 0 | 1.71 | 21.00 | mww | 41.54 | -30.93 | -178.32 | 1 |
| 439 | 6.50 | 11-04-2012 22:55 | 7 | 6 | 1171 | us | 599 | 0.00 | 54.10 | mwb | 20.00 | 18.23 | -102.69 | 0 |
| 462 | 7.20 | 20-08-2011 16:55 | 8 | 6 | 813 | us | 280 | 0.00 | 18.40 | mww | 32.00 | -18.36 | 168.14 | 0 |
| 713 | 6.60 | 21-09-2003 18:16 | 0 | 7 | 670 | us | 518 | 0.00 | 24.70 | mwb | 10.00 | 19.92 | 95.67 | 0 |
| 679 | 6.60 | 23-10-2004 08:56 | 0 | 8 | 670 | us | 782 | 0.00 | 37.00 | mwc | 16.00 | 37.23 | 138.78 | 0 |
| 568 | 6.60 | 25-02-2008 18:06 | 4 | 6 | 674 | us | 421 | 0.00 | 17.70 | mwc | 25.00 | -2.33 | 99.89 | 0 |
| 590 | 6.50 | 13-09-2007 02:30 | 0 | 5 | 650 | us | 409 | 0.00 | 26.20 | mwc | 28.90 | -1.69 | 99.67 | 0 |
| 507 | 7.20 | 04-04-2010 22:40 | 9 | 9 | 2910 | ci | 10 | 0.51 | 239.00 | mw | 9.99 | 32.29 | -115.30 | 0 |
Duplicate rows
Profiling Report - Train Set
| magnitude | date_time | cdi | mmi | sig | net | nst | dmin | gap | magType | depth | latitude | longitude | label | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||||
Profiling Report - Test Set
| magnitude | date_time | cdi | mmi | sig | net | nst | dmin | gap | magType | depth | latitude | longitude | label | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dataset does not contain duplicate rows. | |||||||||||||||